[Close] 

Enterprise Data Analyst Intermediate

Job Summary:   As part of the Geisinger family, we work together daily in an ever-changing healthcare environment to care for our patients, members, providers, employees, and communities. By joining the team our employees help make our purpose and values come alive by working in an innovative environment with endless opportunities for career growth. Specifically reporting meaningful healthcare analytics are key to the success of the organization as they help drive decisions and outcomes across Geisinger. By joining our team, we offer the opportunity to grow both personally and professionally while driving the future success of the company.   The Data Management Analyst Intermediate plays a key role in the day-to-day operations of the Enterprise Information Management and the Unified Data Architecture (UDA). The UDA can include an enterprise data warehouse, big data platforms, BI and analytic tools, knowledge management resources, and an Enterprise Analytics center of excellence. The Intermediate will learn and help continuously improve and enforce our policies and procedures to ensure the mission and vision of the EIM team is met. The scope of these P&P will include development, data management, data governance, and PMO functions as you follow a software development lifecycle (SDLC) to build out a Unified Data Platform and enterprise analytic assets such as reports and dashboards. The Intermediate takes a hands-on role in the execution of development and data management functions and will ensure high-quality development practices are followed and business needs are met on time, within budget. The Intermediate will provide input on technology selections for the UDA including data models, data manipulation, visualization/reporting tools, change control, project tracking, communication, business glossaries/metadata dictionaries, analytic inventories and any other software/hardware that impacts the services the EIM team provides. For all assigned projects, the Intermediate will track issues and risks and help to resolve or escalate as appropriate. The Intermediate will learn and ensure GHS policies are followed.   The Intermediate Data Management Analyst may meet with business stakeholders to understand their needs and help identify or improve ideas for future analytics. The Intermediate should communicate and market the EIM and UDA capabilities to the organization and deliver appropriate training opportunities through User Group meetings and routine training sessions. The Intermediate may meet with leadership at all levels to learn the direction of the organization or department and communicate project status. The Intermediate will keep informed on developments in the healthcare industry and analytics offerings and participate in networking and educational events/conferences. The Intermediate will report to either the Manager or Director of CDIS Analytics.   Competencies and Skills:   Demonstrates an understanding of process control, data quality, data accuracy and report reproducibility, specifically through the use of objective quality checks and performance measures.   Demonstrates an understanding of healthcare industry data and processes spanning all areas of the enterprise including clinical, revenue cycle, operational, financial, and health plan lines of business.   Demonstrates an ability to understand business needs and translate them into business requirements that can be met through technology/data warehousing development.   Demonstrates an extensive working knowledge of Microsoft Word, Excel and Powerpoint. Visio is a plus.   Demonstrates a deep and consistent focus on exceptional customer service both to internal and external customers.   Demonstrates developing interpersonal, communication, and presentation skills.   Demonstrates an understanding of enterprise data warehousing concepts and the skills necessary to manipulate and merge data and files for analysis, research and presentation.   Demonstrates knowledge of SQL programming language, SQL-based reporting, or BI tools such as BusinessObjects, Crystal Reports, Altosoft, Xcelsius, QlikView, etc. or statistical analysis tools such as SAS, R, SPSS, etc.   Demonstrates working knowledge of at least one major RDBMS platform and operating system   Demonstrates an understanding of big data concepts and practices (e.g., Hadoop)   Demonstrates an understanding of the health care industry and stay immersed and up-to-date of major trends in the sector.   Demonstrates strong mathematical, statistical, financial, and organizational skills.   Demonstrates the ability to work independently, problem-solve, and make decisions.   Must be able to work effectively in a team environment and to interface with all levels of staff/management within and beyond the organization.   Education and or Experience:   Bachelor's degree in Computer Science, Information Science, Biostatistics (or related), Business, Epidemiology, Industrial Engineering or other relevant analytical/data field required.   Advanced degree (MS, MBA, MPH, MHA, MSN, PhD, etc.) preferred.   Minimum of three years healthcare information reporting, data analysis (reporting/dashboarding) or informatics experiencerequired.   Minimum of four years of non-healthcare industry data warehousing, data analysis (reporting/ dashboarding) or informatics experience may substitute for the above healthcare experience requirement.   OR Associate's degree in a relevant field required. Minimum of six years of experience in one of the above areas.   Detailed working knowledge of Data Warehousing concepts and analytic tools such as BusinessObjects, Altosoft, SAS, R, Crystal Reports, Xcelsius, QlikView, MModal preferred. Experience with relational databases such as Oracle, Microsoft, Teradata or experience with health care applications including EPIC, TSI, IDX, SMS, AMISYS, CoPath, etc. preferred. Experience or certification in continuous improvement methodologies (Lean, Six Sigma, etc.) or advanced training/education preferred.   Prefer three years experience in clinical healthcare operations required including demonstrated experience in performance improvement, business process redesign, and Lean or Six Sigma projects.   Prefer three years demonstrated experience with EHR, healthcare billing or claims based applications in a complex health care environment. Strongly prefer exposure to health care industry regulations, revenue- cycle, best practices, quality and safety.   If a suitably experienced candidate cannot be found, applicants who meet the basic qualifications but possess fewer years of experience will be considered for hire at a lower level.  Salary would commensurate with experience.   Working Conditions/Physical Demands:   Work is typically performed in an office environment. 51649
Salary Range: NA
Minimum Qualification
Less than 5 years

Don't Be Fooled

The fraudster will send a check to the victim who has accepted a job. The check can be for multiple reasons such as signing bonus, supplies, etc. The victim will be instructed to deposit the check and use the money for any of these reasons and then instructed to send the remaining funds to the fraudster. The check will bounce and the victim is left responsible.

More Jobs

Healthcare Data Analyst
Philadelphia, PA Children's Hospital of Philadelphia
Senior Healthcare Data Analyst
Philadelphia, PA Children's Hospital of Philadelphia
Data Analyst - Performance Improvement
Philadelphia, PA Einstein Healthcare Network
Programmer Analyst - Intermediate - PSH IT Bus...
Hershey, PA Penn State Milton S. Hershey Medical Center
Healthcare Data Analyst - PSHMG PRG PLN/MGT RP...
Hershey, PA Penn State Milton S. Hershey Medical Center
Research Data Analyst-Center for Pediatric Cli...
Philadelphia, PA Children's Hospital of Philadelphia